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| Format: | Entrada de enciclopedia |
| Veröffentlicht: |
International Labour Organization
2024
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| Online-Zugang: | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/A-new-chapter-for-the-ILOs/995630956802676 |
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| _version_ | 1874524938044440577 |
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| author | Pawel Gmyrek (Author) Poleth Vega Ruales (Author) |
| author_facet | Pawel Gmyrek (Author) Poleth Vega Ruales (Author) Pawel Gmyrek (Author) Poleth Vega Ruales (Author) |
| contents | A new chapter for the ILO’s textual assets: applying generative AI to labour force survey questionnaires Pawel Gmyrek (Author) Poleth Vega Ruales (Author) This brief highlights the use of generative AI to create a database of Labour Force Survey questions, combining AI vision capabilities and human verification to ensure accurate data extraction. It introduces tools for digitization, semantic search, and automated summary generation, alongside an interactive search app and GitHub repository, showcasing the transformative potential of AI for turning textual resources into long-term digital assets for research and policymaking. ILO brief. Research brief, ILO 10.54394/SORG5455 DOI https://doi.org/10.54394/SORG5455 publication.encyclopediaEntry |
| format | Entrada de enciclopedia |
| id | ilo_995630956802676 |
| institution | Organización Internacional del Trabajo (OIT) |
| publishDate | 2024 |
| publisher | International Labour Organization |
| spellingShingle | A new chapter for the ILO’s textual assets: applying generative AI to labour force survey questionnaires Pawel Gmyrek (Author) Poleth Vega Ruales (Author) A new chapter for the ILO’s textual assets: applying generative AI to labour force survey questionnaires Pawel Gmyrek (Author) Poleth Vega Ruales (Author) This brief highlights the use of generative AI to create a database of Labour Force Survey questions, combining AI vision capabilities and human verification to ensure accurate data extraction. It introduces tools for digitization, semantic search, and automated summary generation, alongside an interactive search app and GitHub repository, showcasing the transformative potential of AI for turning textual resources into long-term digital assets for research and policymaking. ILO brief. Research brief, ILO 10.54394/SORG5455 DOI https://doi.org/10.54394/SORG5455 publication.encyclopediaEntry |
| title | A new chapter for the ILO’s textual assets: applying generative AI to labour force survey questionnaires |
| url | https://researchrepository.ilo.org/esploro/outputs/encyclopediaEntry/A-new-chapter-for-the-ILOs/995630956802676 |